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相关概念视频

Protein Networks02:26

Protein Networks

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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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Protein Kinases and Phosphatases02:54

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Proteins undergo chemical modifications that trigger changes in the charge, structure, and conformation of the proteins. Phosphorylation, acetylation, glycosylation, nitrosylation, ubiquitination, lipidation, methylation, and proteolysis are various protein modifications that regulate protein activity. Such modifications are usually enzyme-driven.
Protein kinases
Many proteins in the cell are regulated by phosphorylation, the addition of a phosphate group. A family of enzymes called kinases...
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Interactions Between Signaling Pathways01:19

Interactions Between Signaling Pathways

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Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...
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Amplifying Signals via Enzymatic Cascade01:22

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When a ligand binds to a cell-surface receptor, the receptor's intracellular domain changes shape, which may either activate its enzyme function or allow its binding to other molecules. The initial signal is amplified by most signal transduction pathways. This means that a single ligand molecule can activate multiple molecules of a downstream target. Proteins that relay a signal are most commonly phosphorylated at one or more sites, activating or inactivating the protein. Kinases catalyze...
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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
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phuEGO:一种基于网络的方法,从蛋白质组学数据集中重建活跃信号通路.

Girolamo Giudice1, Haoqi Chen1, Thodoris Koutsandreas1

  • 1European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridgeshire, United Kingdom.

Molecular & cellular proteomics : MCP
|April 20, 2024
PubMed
概括

通过整合网络传播和自我网络分解,PhuEGO增强了细胞信号分析. 该方法改善了蛋白质组学数据中的信号噪声比率,揭示了活性信号模块,并有助于跨数据集的比较.

关键词:
活动信号签名 活动信号签名自我网络 自我网络网络传播传播网络传播.蛋白组学分析分析信号网络是指信号网络.

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科学领域:

  • 细胞生物学 细胞生物学
  • 系统生物学 系统生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 细胞信号通路对于细胞功能至关重要,但现有的数据库是有偏见的.
  • 基于质谱的蛋白质组学提供了公正的信号洞察力,但面临信号对噪声和可重现性挑战.
  • 目前用于从蛋白质组学数据中提取信号签名的方法在平衡偏差和可解释性方面存在局限性.

研究的目的:

  • 介绍 phuEGO,一种用于分析细胞信号的新型计算工具.
  • 通过识别主动信号模块来改进全球蛋白质组学数据集的解释.
  • 加强在不同实验环境中对数据的比较和整合.

主要方法:

  • PhuEGO将高达三层网络传播与自我网络分解相结合.
  • 该方法将全球蛋白组学数据分解为更小的,可解释的活跃信号模块网络.
  • 它提高了信号与噪声的比率,并为功能酸盐的网络提供了丰富的信息.

主要成果:

  • PhuEGO成功地在五个SARS-CoV-2光蛋白组学数据集中确定了共同的活性功能.
  • 该工具指出了已知COVID-19目标的丰富子网络.
  • 它表现出比较和整合蛋白质组学数据的能力有所提高.

结论:

  • PhuEGO提供了一个灵活而有效的工具,用于对全球蛋白组学数据的功能解释.
  • 该方法增强了从杂的生物数据集中提取有意义的信号信息.
  • PhuEGO有助于理解细胞反应,以其应用于SARS-CoV-2感染数据为例.